World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
9766
World Ranking
9122
National Ranking
562

Overview

Zhong Fan is affiliated with Keele University in the United Kingdom and is active in the field of engineering, with a research focus on electrical and electronic engineering, control and systems engineering, artificial intelligence, information systems, and automotive engineering.

Their main topics of research include smart grid energy management, microgrid control and optimization, smart grid security and resilience, electric vehicles and infrastructure, advanced battery technologies research, blockchain technology applications and security, and advanced DC-DC converters.

Frequent publication venues for Zhong Fan include:

  • arXiv (Cornell University)
  • Applied Energy
  • SSRN Electronic Journal
  • Energies
  • IEEE Access

Recent papers by Zhong Fan demonstrate involvement in a range of subjects related to energy systems, smart grids, and advanced technologies. Selected recent publications are:

  • "Digital Twin: Enabling Technologies, Challenges and Open Research", 2020, IEEE Access
  • "Anomaly Detection for IoT Time-Series Data: A Survey", 2020, IEEE Internet of Things Journal
  • "Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model", 2020, IEEE Transactions on Smart Grid
  • "Cell equalisation circuits: A review", 2020, Journal of Power Sources
  • "Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning", 2022, Applied Energy

Zhong Fan frequently collaborates with several co-authors, including Jun Cao, Jian Zhong, Chen Chen, Wentao Shen, and Dawei Qiu.

Best Publications

  • Digital Twin: Enabling Technologies, Challenges and Open Research

    Aidan Fuller;Zhong Fan;Charles Day;Chris Barlow

  • Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities

    Zhong Fan;P. Kulkarni;S. Gormus;C. Efthymiou

  • Anomaly Detection for IoT Time-Series Data: A Survey

    Andrew A. Cook;Goksel Misirli;Zhong Fan

  • Emerging technologies and research challenges for 5G wireless networks

    Woon Hau Chin;Zhong Fan;Russell Haines

  • Federated learning with hierarchical clustering of local updates to improve training on non-IID data

    Christopher Briggs;Zhong Fan;Peter Andras

  • A Distributed Demand Response Algorithm and Its Application to PHEV Charging in Smart Grids

    Zhong Fan

  • An integer linear programming based optimization for home demand-side management in smart grid

    Ziming Zhu;Jie Tang;Sangarapillai Lambotharan;Woon Hau Chin

  • Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model

    Jun Cao;Dan Harrold;Zhong Fan;Thomas Morstyn

  • Sparse Malicious False Data Injection Attacks and Defense Mechanisms in Smart Grids

    Jinping Hao;Robert J. Piechocki;Dritan Kaleshi;Woon Hau Chin

  • The new frontier of communications research: smart grid and smart metering

    Zhong Fan;Georgios Kalogridis;Costas Efthymiou;Mahesh Sooriyabandara

  • An integer linear programming and game theory based optimization for demand-side management in smart grid

    Z. Zhu;J. Tang;S. Lambotharan;W. H. Chin

  • Technical and economic analysis of hydrogen refuelling

    Silviu Nistor;Saraansh Dave;Zhong Fan;Mahesh Sooriyabandara

  • A Game Theoretic Optimization Framework for Home Demand Management Incorporating Local Energy Resources

    Ziming Zhu;Sangarapillai Lambotharan;Woon Hau Chin;Zhong Fan

  • Overview of demand management in smart grid and enabling wireless communication technologies

    Ziming Zhu;Sangarapillai Lambotharan;Woon Hau Chin;Zhong Fan

  • Investigation of machine learning based network traffic classification

    Zhong Fan;Ran Liu

  • Optimal Design and Operation of a Low Carbon Community Based Multi-Energy Systems Considering EV Integration

    Jun Cao;Constance Crozier;Malcolm McCulloch;Zhong Fan

  • Cell equalisation circuits: A review

    Jonathan Carter;Zhong Fan;Jun Cao

  • Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning

    Daniel J. B. Harrold;Jun Cao;Zhong Fan

  • The tradeoff between energy efficiency and system performance of femtocell deployment

    Fengming Cao;Zhong Fan

  • Distributed demand response and user adaptation in smart grids

    Zhong Fan

  • A Review of Privacy-Preserving Federated Learning for the Internet-of-Things

    Christopher Briggs;Zhong Fan;Peter Andras

  • Smart electric vehicle charging: Security analysis

    M. A. Mustafa;Ning Zhang;G. Kalogridis;Zhong Fan

  • M2M communications for E-health and smart grid: an industry and standard perspective

    Zhong Fan;Russell Haines;Parag Kulkarni

  • IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

    Costas Efthymiou;Sedat Gormus;Zhong Fan;Andrew D Calway

Frequent Co-Authors

Simon Armour
Simon Armour University of Bristol
Sangarapillai Lambotharan
Sangarapillai Lambotharan Loughborough University
Robert J. Piechocki
Robert J. Piechocki University of Bristol
Ayalvadi Ganesh
Ayalvadi Ganesh University of Bristol
Zakirul Alam Bhuiyan
Zakirul Alam Bhuiyan Fordham University
Soung Chang Liew
Soung Chang Liew Chinese University of Hong Kong
Hsiao-Hwa Chen
Hsiao-Hwa Chen National Cheng Kung University
Wenbo Wang
Wenbo Wang Beijing University of Posts and Telecommunications
Kin K. Leung
Kin K. Leung Imperial College London
Tamer Basar
Tamer Basar University of Illinois at Urbana-Champaign

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